School of Engineering
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Professor of Management Science and Engineering
Current Research and Scholarly InterestsThe question that drives Prof. Katila's research is how technology-based firms with significant resources can stay innovative. Her work lies at the intersection of the fields of technology, innovation, and strategy and focuses on strategies that enable organizations to discover, develop and commercialize technologies. She combines theory with longitudinal large-sample data (e.g., robotics, biomedical, multi-industry datasets), background fieldwork, and state-of-the-art quantitative methods. The ultimate objective is to understand what makes technology-based firms successful.
To answer this question, Prof. Katila conducts two interrelated streams of research. She studies (1) strategies that help firms leverage their existing resources (leverage stream), and (2) strategies through which firms can acquire new resources (acquisition stream) to create innovation. Her early contributions were firm centric while recent contributions focus on innovation in the context of competitive interaction.
Professor Katila's work has appeared in the Academy of Management Journal, Administrative Science Quarterly, Organization Science, Strategic Entrepreneurship Journal, Strategic Management Journal, Research Policy and other outlets. In her work, supported by the National Science Foundation, Katila examines how firms create new products successfully. Focusing on the robotics and medical device industries, she investigates how different search approaches, such as the exploitation of existing knowledge and the exploration for new knowledge, influence the kinds of new products that technology-intensive firms introduce. Professor Katila has served on the editorial boards of several leading journals including Administrative Science Quarterly, Organization Science, Strategic Organization, and the Strategic Management Journal.
Assistant Professor of Management Science and Engineering
BioIrene is an assistant professor in Management Science & Engineering at Stanford University. Her research is on designing matching markets and assignment processes to improve market outcomes, with a focus on public sector applications and socially responsible operations research. She is also interested in mechanism design for social good and graph theory.
Professor of Management Science and Engineering, Emeritus
BioDavid G. Luenberger received the B.S. degree from the California Institute of Technology and the M.S. and Ph.D. degrees from Stanford University, all in Electrical Engineering. Since 1963 he has been on the faculty of Stanford University. He helped found the Department of Engineering-Economic Systems, now merged to become the Department of Management Science and Engineering, where his is currently a professor.
He served as Technical Assistant to the President's Science Advisor in 1971-72, was Guest Professor at the Technical University of Denmark (1986), Visiting Professor of the Massachusetts Institute of Technology (1976), and served as Department Chairman at Stanford (1980-1991).
His awards include: Member of the National Academy of Engineering (2008), the Bode Lecture Prize of the Control Systems Society (1990), the Oldenburger Medal of the American Society of Mechanical Engineers (1995), and the Expository Writing Award of the Institute of Operations Research and Management Science (1999) He is a Fellow of the Institute of Electrical and Electronic Engineers (since 1975).
His overall interest is the application of mathematics to issues in control, planning, and decision making. He has worked in the technical fields of control theory, optimization theory and algorithms, and investment theory for portfolios and project evaluation. He has published six major textbooks: Optimization by Vector Space Methods, Linear and Nonlinear Programming (jointly with Yinyu Ye), Introduction to Dynamic Systems, Microeconomic theory, Investment Science, and Information Science. He has published over eighty journal papers.
Professor (Teaching) of Management Science and Engineering, Emeritus
Current Research and Scholarly Interestsexploration of ethical issues related to nanotechnology
Shirley R. and Leonard W. Ely, Jr. Professor in the School of Humanities and Sciences, Professor of Economics, Senior Fellow at SIEPR and Professor, by courtesy, of Economics at the GSB and of Management Science and Engineering
BioPaul Milgrom is the Shirley and Leonard Ely professor of Humanities and Sciences in the Department of Economics at Stanford University and professor, by courtesy, in the Stanford Graduate School of Business and in the Department of Management Sciences and Engineering. Born in Detroit, Michigan on April 20, 1948, he is a member of both the National Academy of Sciences and the American Academy of Arts and Sciences and a winner of the 2008 Nemmers Prize in Economics, the 2012 BBVA Frontiers of Knowledge award, the 2017 CME-MSRI prize for Innovative Quantitative Applications, and the 2018 Carty Award for the Advancement of Science.
Milgrom is known for his work on innovative resource allocation methods, particularly in radio spectrum. He is coinventor of the simultaneous multiple round auction and the combinatorial clock auction. He also led the design team for the FCC's 2017 incentive auction, which reallocated spectrum from television broadcast to mobile broadband.
According to his BBVA Award citation: “Paul Milgrom has made seminal contributions to an unusually wide range of fields of economics including auctions, market design, contracts and incentives, industrial economics, economics of organizations, finance, and game theory.” As counted by Google Scholar, Milgrom’s books and articles have received more than 80,000 citations.
Finally, Milgrom has been a successful adviser of graduate students, winning the 2017 H&S Dean's award for Excellence in Graduate Education.
Professor (Research) of Management Science and Engineering, Emeritus
BioProfessor Murray's research interests include numerical optimization, numerical linear algebra, sparse matrix methods, optimization software and applications of optimization. He has authored two books (Practical Optimization and Optimization and Numerical Linear Algebra) and over eighty papers. In addition to his University work he has extensive consulting experience with industry, government, and commerce.
Henry J. Kaiser, Jr. Professor and Professor, by courtesy, of Management Science and Engineering
Current Research and Scholarly InterestsMy research uses decision modeling, cost-effectiveness analysis, and meta-analysis to evaluate clinical and health policy problems. Much of my work involves development of national guidelines for prevention and treatment.
M Elisabeth Pate-Cornell
Burton J. and DeeDee McMurtry Professor in the School of EngineeringOn Leave from 10/01/2021 To 12/31/2021
BioDr. Marie-Elisabeth Paté-Cornell is the Burt and Deedee McMurtry Professor in the School of Engineering and Professor and Founding Chair (2000-2011) of the Department of Management Science and Engineering at Stanford University. Her specialty is engineering risk analysis with application to complex systems (space, medical, offshore oil platforms, etc.). Her earlier research has focused on the optimization of warning systems and the explicit inclusion of human and organizational factors in the analysis of systems’ failure risks. Her recent work is on the use of game theory in risk analysis with applications that have included counter-terrorism, nuclear counter-proliferation problems and cyber security. She is the author of more than one hundred publications, and the co-editor of a book on Perspectives on Complex Global Problems (2016).
She is a member of the National Academy of Engineering, of the French Académie des Technologies, of the NASA Advisory Council and of several boards including the Board of Advisors of the Naval Postgraduate School and the Navy War College. Dr. Paté-Cornell was a member of the President’s Foreign Intelligence Advisory Board from December 2001 to 2008, of the board of the Aerospace Corporation (2004-2013) of Draper Laboratory (2009-2016), and of InQtel (2006-2017). She holds a BS in Mathematics and Physics, Marseille (France), an Engineering degree (Applied Math/CS) from the Institut Polytechnique de Grenoble (France), an MS in Operations Research and a PhD in Engineering-Economic Systems, both from Stanford University.
She and her late husband, Dr. Allin Cornell had two children, Philip Cornell (born 1981) and Ariane Cornell (1984). She is married to Admiral James O. Ellis Jr. (US Navy, Ret.).
Assistant Professor of Management Science and Engineering
Current Research and Scholarly InterestsHis research focuses on understanding and managing financial risk. He develops mathematical financial model and statistical methods, analyzes financial data and engineers computational techniques. His research is divided into three streams: stochastic financial modeling, high-frequency statistics and statistical learning in high-dimensional financial data sets. His most recent work includes developing machine learning solutions to big-data problems in empirical risk management and asset pricing.
Professor of Management Science and EngineeringOn Leave from 10/01/2021 To 03/31/2022
BioAmin Saberi is an Associate Professor and 3COM faculty scholar in Stanford University. He received his B.Sc. from Sharif University of Technology and his Ph.D. from Georgia Institute of Technology in Computer Science. His research interests include algorithms, approximation algorithms, and algorithmic aspects of games, markets, and networks. Amin Saberi's research is supported by National Science Foundation (under grants CCF 0546889, 0729586, and 0915145), Library of Congress, Stanford Clean Slate Design for the Internet, and Google. His most recent awards include an Alfred Sloan Fellowship and best paper awards in FOCS 2011 and SODA 2010.
Professor (Research) of Management Science and Engineering, Emeritus
BioSaunders develops mathematical methods for solving large-scale constrained optimization problems and large systems of equations. He also implements such methods as general-purpose software to allow their use in many areas of engineering, science, and business. He is co-developer of the large-scale optimizers MINOS, SNOPT, SQOPT, PDCO, the dense QP and NLP solvers LSSOL, QPOPT, NPSOL, and the linear equation solvers SYMMLQ, MINRES, MINRES-QLP, LSQR, LSMR, LSLQ, LNLQ, LSRN, LUSOL.
Professor of the Practice, Management Science and Engineering
BioDr. Tina Seelig is Executive Director of the Knight-Hennessy Scholars Program and Professor of the Practice in the Department of Management Science and Engineering (MS&E) at Stanford University. She is also a faculty director of the Stanford Technology Ventures Program (STVP), the entrepreneurship center at Stanford University's School of Engineering. She teaches courses on creativity, innovation, and entrepreneurship in MS&E and the Hasso Plattner Institute of Design (d.school) at Stanford.
In 2014 Dr. Seelig was honored with the SVForum Visionary Award, and in 2009 she received the Gordon Prize from the National Academy of Engineering, recognizing her as a national leader in engineering education. She received the 2014 MS&E Award for Graduate Teaching, the 2008 National Olympus Innovation Award, and the 2005 Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching. In 2018, Dr Seelig received the Richard W. Lyman Award which recognizes one outstanding Stanford faculty member for extraordinary service to the alumni community and Stanford Alumni Association programs.
Dr. Seelig earned a Ph.D. in Neuroscience from Stanford University School of Medicine where she studied neuroplasticity. She has worked as a management consultant for Booz, Allen, and Hamilton, as a multimedia producer at Compaq Computer Corporation, and was the founder of a multimedia company called BookBrowser.
She has written 17 books and educational games. Her books include The Epicurean Laboratory and Incredible Edible Science, which focus on the chemistry of cooking, published by Scientific American; and a dozen games for children, called "Games for Your Brain," published by Chronicle Books. Her newest books, published by HarperCollins, explore the process of bringing ideas to fruition. They include What I Wish I Knew When I Was 20 (2009), inGenius: A Crash Course on Creativity (2012), and Creativity Rules (September 2017.)
Associate Professor of Management Science and Engineering
Current Research and Scholarly InterestsProf. Shachter's research has focused on the representation, manipulation, and analysis of uncertainty and probabilistic reasoning in decision systems. As part of this work, he developed the DAVID influence diagram processing system for the Macintosh. He has developed models scheduling patients for cancer follow-up, and analyzing vaccination strategies for HIV and Helobacter pylori.
Assistant Professor of Management Science and Engineering and of Computer Science
Current Research and Scholarly InterestsMy research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.
Rosanne Marie Siino
BioRosanne was on the founding team of Netscape in the 1990s. She brings the same creativity, “think big” attitude and positive energy that launched the first commercially successful web browser to her teaching and consulting. After a long career in high-tech marketing, Rosanne received a doctorate in Management Science and Engineering from Stanford, where she has been a lecturer since 2007. Rosanne teaches undergraduate and graduate classes in organizational dynamics, and advises technology companies, startups, and nonprofits on effective teamwork, management and messaging.
Professor of Management Science & Engineering and, by courtesy, of Organizational Behavior at the Graduate School of Business
BioRobert Sutton is Professor of Management Science and Engineering and a Professor of Organizational Behavior (by courtesy) at Stanford. Sutton has been teaching classes on the psychology of business and management at Stanford since 1983. He is co-founder of the Center for Work, Technology and Organization, which he co-directed from 1996 to 2006. He is also co-founder of the Stanford Technology Ventures Program and the Hasso Plattner Institute of Design (which everyone calls “the d school”). Sutton and Stanford Business School's Huggy Rao recently launched the Designing Organizational Change Project, which is hosted by the Stanford Technology Ventures Program
Sutton studies innovation, leadership, the links between managerial knowledge and organization action, scaling excellence, and workplace dynamics. He has published over 100 articles and chapters on these topics in peer-reviewed journals and the popular press. Sutton’s books include Weird Ideas That Work: 11 ½ Practices for Promoting, Managing, and Sustaining Innovation, The Knowing-Doing Gap: How Smart Firms Turn Knowledge into Action (with Jeffrey Pfeffer), and Hard Facts, Dangerous Half-Truths, and Total Nonsense: Profiting from Evidence-Based Management (with Jeffrey Pfeffer). The No Asshole Rule: Building a Civilized Workplace and Surviving One That Isn’t and Good Boss, Bad Boss: How to Be the Best…. and Survive the Worst are both New York Times and Wall Street Journal bestsellers. His last book, Scaling-Up Excellence: Getting to More without Settling for Less (with Huggy Rao), was published in 2014 and is a Wall Street Journal and Publisher’s Weekly bestseller. Sutton's next book, The Asshole Survival Guide: How to Deal With People Who Treat You Like Dirt, will be published in September of 2017.
Professor Sutton’s honors include the award for the best paper published in the Academy of Management Journal in 1989, the Eugene L. Grant Award for Excellence in Teaching, selection by Business 2.0 as a leading “management guru” in 2002, and the award for the best article published in the Academy of Management Review in 2005. Hard Facts, Dangerous Half-Truths, and Total Nonsense was selected as the best business book of 2006 by the Toronto Globe and Mail. Sutton was named as one of 10 “B-School All-Stars” by BusinessWeek , which they described as “professors who are influencing contemporary business thinking far beyond academia.” In 2014, the London Business School honored Sutton with the Sumantra Ghoshal Award for Rigour and Relevance in the Study of Management.
Sutton is a Fellow at IDEO, a Senior Scientist at Gallup, and academic director of two Stanford executive education programs:Customer-Focused Innovation and the online Stanford Innovation and Entrepreneurship Certificate. His personal website is at www.bobsutton.net and he also blogs at Harvard Business Review and as an “influencer” on LinkedIn. Sutton tweets @work_matters.
Professor of Management Science & Engineering, Senior Fellow at the Stanford Institute for Economic Policy Research, at the Precourt Institute for Energy and, by courtesy, at the Hoover Institution
Current Research and Scholarly InterestsDeterminants of energy efficiency opportunities, barriers, and policy options. Emphasis on behavioral issues, including personal, corporate, or organizational. Behavior may be motivated by economic incentives, social, or cultural factors, or more generally, by a combination of these factors. Systems analysis questions of energy use.
Associate Professor of Management Science and Engineering
BioProfessor Tse received his BS, MS, and Ph.D. in Electrical Engineering from Massachusetts Institute of Technology. He is the Director of Asia Center of Management Science and Engineering, which has the charter of developing executive training programs for executives in Asian enterprises, conducting research on development of the emerging economy in Asia and establishing research affiliations with Asian enterprises, with a special focus in Greater China: China, Hong Kong, and Taiwan.
In 1973, he received the prestigious Donald Eckman Award from the American Automatic Control Council in recognition of his outstanding contribution in the field of Automatic Control. He had served as an Associate Editor of the IEEE Transactions of Automatic Control, and a co-editor of the Journal of Economic Dynamics and Control, which he co-founded. In recent years he dedicated his research effort in dynamic entrepreneurial strategy and transformation of Chinese production economy to innovation economy. He developed a significant theory on innovation synergistic to Chinese culture and its application to China industry transformation. Over the years he has made valuable contributions in the field of engineering, economics, and business creation and expansion. He has published over 180 papers on his research activities. Since March 2003, he has been teaching his new found theory on China innovation and Industry Transformation to high level Chinese government officials and Chinese executives.
Since 2007, he co-directed a Stanford Financial Engineering Certificate Program in Hong Kong that upgrades the quality of managers and traders in the financial institutions in Hong Kong. Since 2009, he co-directed a Stanford program on Regional Industry Transformation and Public Administration that was attended by city officials from various cities in China, and directs a Stanford program on Chinese Industry Transformation and Innovation that was attended by executives from Chinese enterprises. Prof. Tse is the author of over 150 articles in the fields of systems and control. He received the 1973 Donald P. Eckman Award for outstanding achievement in the field of automatic control. Prior to joining the Stanford faculty, he worked at Systems Control, Inc., where he formulated and solved numerous problems in defense, electric power, forecasting and marketing.
At Stanford, he has developed computer integrated systems to support fishery management policy decisions, management and control of the manufacturing enterprise, and industrial competitive analysis and product development. He is currently conducting research on building core competence within an enterprise to gain competitive advantage. He established the Journal of Economic Dynamics and Control and is now a member of its Advisory Board. His national society memberships include the Econometric Society, IEEE, ORSA, and TIMS. Tse developed a framework for analyzing dynamic competitive strategy based on a dynamic model of grabber-holder dynamics that describes the forces that would shape the formation of an ecosystem supporting an exciting vision. Within such a framework, he developed dynamic strategies for firms entering an emerging market, latecomers that want to wedge into a matured market, and firms that need to turn danger into opportunities. Tse’s recent interests are in extending the theory to analyzing the dynamic competition in network economy, regional technology center development, and applying the theory of dynamic strategies to the wireless, airport, real estate, and financial industries in China.